HZHaili Zhang

Haili Zhang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Haili Zhang has a total of 7 co-authors. Here are the top co-authors by number of shared publications:

  • Jing Wang

    Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, P. R. China

    1 shared publication
  • Ming Li

    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

    1 shared publication
  • Mingming Wang

    Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China

    1 shared publication
  • Yaying Zhang

    Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China

    1 shared publication
  • Yifan Lv

    Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China

    1 shared publication
  • Yu Luo

    Department of Radiology, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai, China

    1 shared publication

Latest Publications

  • Open Access

    Magnetic Resonance Perfusion-Weighted Imaging in Predicting Hemorrhagic Transformation of Acute Ischemic Stroke: A Retrospective Study

    by Ming Li, Yifan Lv, Mingming Wang, Yaying Zhang, Zilai Pan, Yu Luo, Haili Zhang, Jing Wang

    Hemorrhagic transformation (HT) is one of the common complications in patients with acute ischemic stroke (AIS). This study aims to investigate the value of different thresholds of Tmax generated from perfusion-weighted MR imaging (PWI) and the apparent diffusion coefficient (ADC) value in the prediction of HT in AIS. A total of 156 AIS patients were enrolled in this study, with 55 patients in the HT group and 101 patients in non-HT group. The clinical baseline data and multi-parametric MRI findings were compared between HT and non-HT groups to identify indicators related to HT. The optimal parameters for predicting HT and the corresponding cutoff values were obtained using the receiver operating characteristic curve analysis of the volumes of ADC < 620 × 10−6 mm2/s and Tmax > 6 s, 8 s, and 10 s. The results showed that the volumes of ADC < 620 × 10−6 mm2/s and Tmax > 6 s, 8 s, and 10 s in the HT group were all significantly larger than that in the non-HT group and were all independent risk factors for HT. Early measurement of the volume of Tmax > 10 s had the highest value, with a cutoff lesion volume of 10.5 mL.